Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques.
Although it is not intended to have the formal rigor of a book, we tried to be as faithful as possible to the original algorithms and methods, only adding variants, when these were necessary for didactic purposes.
- NLP with spaCy
- Semantic Enrichment of Entities
- Spell Checker/Corrector
- Word Embedding with Gensim
- Relationship between Words
Click here to see the project and the repository.